Python Stream Processing
- kafka-streams
- kafka
- python
- asyncio
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Python Stream Processing
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
Apache KIE (Knowledge Is Everything) is the home of Drools, OptaPlanner, jBPM, and Kogito.
Reactive Extensions for the Go language.
Kubernetes-native platform to run massively parallel data/streaming jobs
The fastest unified streaming SQL Engine in a single C++ binary. ⚡ Millisecond latency. 100+ GB/s throughput. Continuously compute stateful context from streams, logs, metrics, events, and CDC.
Ruby and Rails efficient Kafka processing framework
Lightweight data stream processing engine for IoT edge
👜 Tiny and fast reactive/iterable programming library
Probabilistic data structures for processing continuous, unbounded streams.
Tenzir is the data pipeline engine for security teams.
🏎️ Streams & Reactive Programming paradigm for Go: declarative and composable API for event-driven applications
Reactive queryable observable framework.
Sliding-window and regular top-K sketches, based on HeavyKeeper
A light-weight package for in-app micro batch processing